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The AI-based software for gastric cancer prevention and management is a pioneering medical device that leverages real-time AI diagnostics to improve patient outcomes. This innovative solution aims to enhance the survival rates and quality of life for high-risk gastric cancer patients, reduce healthcare costs by preventing the disease from progressing to more severe stages, and is currently undergoing clinical trials in major hospitals in Korea with related patents secured. Among the world's seven major cancers, the one with the lowest 5-year relative survival rate of 20-30% demonstrates that regular surveillance diagnostics of the high risk patients is the most well-proven preventive measure. The core technology integrates comprehensive AI diagnostics from pre-cancerous stages to cancer and a multi-modal AI personalized surveillance system for optimal preventive management and patient care. Developed in Korea, where millions of endoscopic examinations are conducted annually, this software is designed to maximize the diagnostic and consultative capabilities of physicians and enhance the preventive management functions for patients. The user interface is tailored to meet the needs of doctors, high-risk patients, and their caregivers, with AI algorithms and interfaces continuously improving.   Key functional Features: High-performance AI algorithms and unique interface: Patented AI/interface and over 1 million data points diagnose comprehensive pre-cancerous conditions, including gastric cancer, adenoma, and chronic gastritis (intestinal metaplasia). Diagnostic accuracy: Simultaneously diagnoses multiple diseases in real-time, achieving performance equal to or superior to that of skilled physicians. User-friendly display: Intuitive UI resolves information asymmetry between skilled and unskilled doctors, as well as between doctors and patients. Multimodal AI software: Integrates various data sources such as imaging, medical, and language to support multimodal consultations and provide personalized management and care plans. Versatility: Supports both on-premises and cloud environments, making it compatible with various endoscopic devices and platforms. Efficiency and environmental protection: Features like auto-capture and best shot selection enhance pathology confirmation efficiency, reducing medical time and costs and contributing to environmental protection. Development process: Organically structured in stages of UI design tailored to doctor and patient needs together, AI algorithm development and integration, final product quality verification, and continuous enhancement. As a digital healthcare solution: Real-time diagnostic market and new medical device market based on AI software solutions Health management services using AI-based personalized preventive care solutions Insurance and consumer (patient)-targeted health management platform linkage market Future markets that can be linked and expanded with the medical ecosystem related to medical big data, telemedicine, and patient monitoring systems  As a software developer and business operator: New business approaches through collaboration with various hardware and platform operators The global market for AI-assisted upper endoscopy diagnostics exceeds $6 billion, while the patient-driven gastric cancer prevention and care market surpasses $60 billion. A particular company demonstrates significant market competitiveness through its innovative technologies: Endoscopic Pre-cancer Diagnosis for Gastric Cancer Prevention: The first technology in Korea and globally that allows personalized diagnostic results to be managed over time. A technology with approximately 90% diagnostic accuracy for major pre-cancerous conditions like intestinal metaplasia, achieved through comprehensive analysis of multiple landmarks in videos, potentially replacing numerous random biopsies. Early Partnerships: Pursuing early partnerships with multi-national hardware and platform providers based on software flexibility. International Academic Activities: Presentation at the European Union Digestive Disease Week in October 2023 (superiority in diagnosing intestinal metaplasia compared to experienced physicians). Abstract presentation at the Spring 2024 SIDDs conference (efficiency of landmark classification and engine compared to experienced physicians, and improvement in photo documentation quality). Several research publications are currently in the process of being published. Current Advanced Technology Improvements Comprehensive Real-Time Diagnosis: Unlike existing solutions that focus on a single and non-real-time disease detection, this product simultaneously diagnoses various conditions from pre-cancerous stages to cancer in real-time. High Diagnostic Accuracy: Trained on over a million data points, the AI algorithm provides diagnostic accuracy equal to and/or significantly better than skilled physicians' visual detection. Multi-type User-Friendly Interface: An intuitive ‘medical device UI’ addresses information asymmetry not only between skilled and unskilled physicians, but also between doctors and patients. Multimodal AI Software Medical Device: Integrates imaging, medical records, and language data to support personalized consultations and preventive care plans. Support for Various Environments and Efficiency: Supports both on-premises and cloud environments, and features automatic shooting and optimal shot selection to reduce medical costs and contribute to environmental protection.   Unique Value Proposition (UVP) Compared to Current Advanced Technology World's First AI-Based Preventive Care: The first AI software medical device to implement real-time AI diagnosis for gastric cancer preventive care. Comprehensive Solution for Gastric Cancer Prevention Management: Provides an integrated solution that simultaneously addresses the major obstacles in gastric cancer prevention management, such as diagnostic errors and appropriate surveillance management errors. Verified Patent Technology: Undergoing clinical trials in major hospitals in Korea, with related patents obtained and filed to ensure the reliability and effectiveness of the technology including surface/diffuse type of lesion detection not limiting to traditional contour-based lesion detection. International-Level Research: Maintains cutting-edge technology through continuous international-level research. Healthcare, Diagnostics

Gum disease, a widespread and severe condition, often remains undetected until it progresses to advanced stages, leading to significant oral health issues and costly treatments. This AI-driven gum disease detection and management system is designed specifically for home use and caregiving environments, such as care homes. It enables non-specialists to monitor oral health effectively, providing an early and accurate gum disease screening. This technology empowers caregivers, family members, and individuals to take proactive steps in maintaining oral health, especially for care home residents and people with low mobility who may have limited access to regular dental care. Using advanced machine learning algorithms, the system analyses oral images provided by the users to detect early signs of gum disease with high accuracy. Early detection allows timely intervention, reducing the risk of severe gum issues and enhancing overall health. The AI system is user-friendly and requires minimal training to operate, making it ideal for non-professional settings. It addresses a significant market need by providing accessible, reliable, and cost-effective oral health monitoring tools, ensuring that quality oral care is available to those who need it most. This technology improves individual health outcomes and reduces the burden on professional dental services by enabling early disease management. This AI-driven gum disease detection and management system leverages the user's smartphone camera to capture detailed images of the gums and teeth. The core components of the technology include: Smartphone Camera Integration: Utilizes the built-in camera of the user's smartphone, whether high-end or low-end, to capture images necessary for analysis. The AI algorithms are designed to work effectively with a wide range of camera qualities. AI Software Algorithm: Employs advanced machine learning to analyze the captured images, accurately detecting early signs of gum disease. User-Friendly Mobile Application: Provides an intuitive interface for users to easily photograph their gums, receive diagnostic feedback, and access personalized care recommendations. Private Cloud-Based Data Storage: Securely stores user data and images in a private cloud, supporting continuous monitoring and historical comparisons for tracking gum health over time while ensuring data privacy and security. Real-Time Feedback: Offers immediate diagnostic results and suggestions for preventive care or further actions. Ideal collaboration partners in the value chain include medical institutions for clinical validation and feedback, smartphone manufacturers to ensure compatibility and optimize performance, and elderly care facilities to pilot and implement the technology in real-world settings. This AI-driven gum disease detection and management system can be deployed across several industries, primarily healthcare and consumer wellness. Key applications include: Home Healthcare: The technology enables individuals and caregivers to monitor and manage gum health from home, significantly reducing the need for frequent dental visits. This is particularly beneficial for elderly individuals and those with mobility issues, allowing them to maintain oral health conveniently. Elderly Care Facilities: Staff in elderly care homes can regularly check residents' oral health, ensuring early detection and treatment of gum disease. This proactive approach can prevent severe oral health issues, enhancing the overall well-being of residents. Telemedicine: The system facilitates remote consultations with dental professionals. By leveraging the data and images captured by the AI system, dental professionals can provide more informed recommendations and care plans without the need for in-person visits, making dental care more accessible. Consumer Health Products: This technology can be marketed as part of comprehensive home dental care kits. These kits would include the mobile application and guidelines for capturing images, promoting proactive gum health management among consumers. Dental Insurance: Insurance companies can integrate this technology into their preventive care programs, encouraging policyholders to monitor their gum health regularly and reducing the risk of costly dental treatments. This AI-driven system enhances gum disease detection and management, making quality oral healthcare more accessible and efficient across various settings. It supports a wide range of applications, from individual home use to professional healthcare environments, and can be marketed as part of innovative dental care products and services. The market potential for this AI-driven gum disease detection and management system is substantial, given the high prevalence of gum disease and the increasing emphasis on preventive healthcare: Market Size: Global Dental Market: The global dental market was valued at approximately $37 billion in 2020 and is expected to grow at a CAGR of around 6.4% from 2021 to 2028. This growth is driven by an aging population, increased oral health awareness, and technological advancements. Elderly Care Market: The global elderly care market is projected to reach $1.7 trillion by 2028, growing at a CAGR of 7.1%. Oral health is a significant concern in elderly care, making this technology highly relevant. Telemedicine Market: The global telemedicine market size was valued at $50 billion in 2019 and is expected to expand at a CAGR of 19.3% from 2020 to 2027. The integration of dental care into telemedicine platforms presents a significant opportunity. Attractiveness to the Market: Accessibility and Convenience: By utilizing smartphone cameras, the technology is accessible to a broad audience, regardless of the type of phone they use. This convenience makes it an attractive option for home healthcare and elderly care settings. Cost-Effectiveness: Early detection of gum disease can prevent the need for expensive treatments, making this technology a cost-effective solution for individuals and healthcare providers. Data Privacy and Security: Private cloud storage ensures user data is secure and private, addressing a critical concern in the healthcare industry. User-Friendly: The intuitive mobile application requires minimal training, making it easy for non-specialists, such as caregivers and family members, to use effectively. Proactive Health Management: The technology promotes a proactive approach to oral health, encouraging regular monitoring and early intervention, which aligns with the growing trend towards preventive healthcare. Overall, the market potential for this AI-driven gum disease detection and management system is significant, with opportunities spanning the dental, elderly care, and telemedicine markets. Its accessibility, cost-effectiveness, and alignment with preventive healthcare trends make it an attractive solution for a wide range of users. This AI-driven gum disease detection and management system offers a transformative solution over the current "State-of-the-Art" in oral healthcare through several key improvements and unique features: Accessibility and Convenience: Improvement: Unlike traditional methods requiring regular dental visits, this technology leverages the ubiquitous smartphone camera, allowing users to monitor their gum health from home. This democratizes access to advanced oral health diagnostics. Cost-Effectiveness: Improvement: Early detection and continuous monitoring reduce the need for expensive treatments and frequent dental check-ups, providing a more affordable solution for maintaining oral health. Advanced AI Diagnostics: Improvement: Employs sophisticated machine learning algorithms to analyze images with high precision, ensuring reliable detection of early-stage gum disease across different smartphone models, from high-end to low-end. User Empowerment and Ease of Use: Improvement: The intuitive mobile application is designed for non-specialists, requiring minimal training. This empowers individuals, caregivers, and family members to monitor and manage oral health actively. Real-Time Feedback and Recommendations: Improvement: Provides immediate diagnostic results and personalized care recommendations, enabling proactive health management and timely responses to potential issues. Data Privacy and Security: Improvement: Utilizes private cloud storage to ensure secure and confidential user data management, addressing critical privacy concerns in healthcare. Unique Value Proposition (UVP): This system uniquely empowers users by making advanced gum disease detection accessible through everyday smartphones without compromising diagnostic accuracy. Its combination of AI-driven precision, ease of use, and secure data management sets it apart from traditional methods and other existing technologies, providing a comprehensive and user-friendly solution for proactive oral health management. Healthcare, Telehealth, Medical Software & Imaging

Nanofibers are fiber-like structures with diverse functionalities. With their high aspect ratio and large surface area, these materials exhibit unique characteristics that have potential for several applications, including medicine, environmental science, construction, agriculture, and apparel. Typically produced using polymers, nanofiber production has been limited to small-scale production due to difficulties in scaling up of the manufacturing process. This technology aims to address the constraints of large-scale nanofiber production to produce nanofibers continuously. By means of unique equipment and melting of raw materials or dissolution in solvents, uniform nanofibers are produced through the control of processing parameters to enable large-scale production. This patented technology also allows the formation of three-dimensional (3D) layered fiber structures at point of production. Nanofibers produced through this technology have been utilised for oil-absorbent products with high absorption and retention capacity. The properties of nanofiber can also be tuned for other functionalities such as hydrophobicity, increased water retention and low thermal conductivity to name a few. The technology owner is interested in co-development collaborations to develop new nanofiber applications and looking for partners to license the nanofiber production method and establish new joint venture entities. This technology produces nanofibers through a patented manufacturing process that controls the heat of air during the melting of the material. Features of the nanofibers produced include: Nano-sized fibers with varying diameters from sub-100nm to 1000nm Lightweight Strong absorption and holding capacity of organic compounds e.g., oil, blood Water repellent Low thermal conductivity Excellent sound absorption Able to be used in fabrication of 3D structures for effective permeability and porosity control The unique properties of nanofibers make them ideal for a wide range of applications including (but not limited to): Consumer products e.g., oil absorbing sheets, female sanitary products Sound and heat insulation for buildings and automotives Filters e.g., air and water Textiles and fabric Agriculture Medical e.g., scaffolding materials, wound care Enables large-scale production of nanofibers Versatile material - properties of nanofibers produced can be customised for a wide range of applications nanofiber, polymer, materials, fiber, production method, oil absorption, acoustic, water repellent, hydrophobic, water retention, thermal conductivity, sound absorption Materials, Plastics & Elastomers, Nano Materials, Manufacturing, Chemical Processes

Anti-fouling coatings have garnered significant attention due to the increasing demand for durable, low-maintenance, and aesthetically pleasing surfaces in both residential and commercial spaces. These coatings help maintain cleanliness and appearance, reduce cleaning frequency and effort, and offer substantial cost savings in maintenance. However, balancing the performance and cost of anti-fouling coatings, particularly in achieving both oil repellence and dust resistance, remains a challenge. There is also a growing emphasis on developing stain-repellent coatings that provide long-lasting protection against abrasion. The technology offers a special fluororesin-based functional coating with excellent water and oil repellence and dust resistance. This thin, transparent and durable coating can be applied to metals, plastics, ceramics and various other surfaces. It effectively reduces the accumulation of oil and stain build-up on the surface, prolonging the life span of home appliances and reducing maintenance frequency. With these superior properties, such coatings have great potential for applications across electronics, household appliances, and automotive applications, enhancing product performance and durability while improving user convenience and hygiene.  The technology owner is seeking joint R&D collaboration and partnership with companies interested in integrating this coating into their products and applications. The coating formulation is a unique organic-inorganic composite resin that incorporates particle dispersion technology. It is synthesized by copolymerizing acrylic resin with polysiloxane and fluorine units, resulting in a resin with high water and oil repellency and low surface resistance. Key features of the anti-fouling coating include: Balanced performance: effectively repels water, oil stains, and dust Ultra-thin and transparent: preserve the appearance of materials with a 2-5 µm clear coating layer Long-lasting: improved scratch resistance due to the highly durable resin layer Customisable: tailor the coating by adding anti-static, antibacterial and antiviral properties Cost-effective: more affordable than existing PTFE and high fluorine content coatings Versatile application: suitable for a wide range of materials and surfaces Easy application: a simple 3-step process involving surface cleaning, spray coating and low temperature baking (100 °C). Energy saving and environmentally friendly The potential applications of anti-fouling coating include but are not limited to: Households: interior walls, ceilings, kitchen countertops, toilet seats, furniture, etc. Electrical appliances: lighting, ventilation fans, refrigerators, ovens, etc. Electronics: mobile phones, displays, touch panels, printed circuit boards (PCBs), etc. Automotive: windows, dashboards, wheels, fabric seats, etc. Industrial sectors: machinery, equipment, packaging materials, etc. Textiles and fashion: silks, fabrics, wallpapers, etc. Optimal performance: balanced oil repellence and dust resistance Enhanced durability: ensures long-lasting effect Cost-effective: low material cost and simple process (low temperature baking) Anti-fouling, coating, surface durability, water-repellent, oil-repellent, Dust resistence Materials, Composites, Chemicals, Coatings & Paints, Sustainability, Circular Economy

With the spread of smart home appliances, the demand for diverse audio notifications is rising. Traditional dynamic speakers and buzzers in consumer electronics, often built with rigid or bulky frames, are difficult to mount on curved or irregular surfaces and fit into compact spaces, thus reducing design flexibility. These components are also vulnerable to environmental damage such as dust, moisture, and shock, requiring additional protective measures that increase costs. Acoustically, buzzers can only emit single-frequency sounds, while dynamic speakers suffer from sound congestion and rapid frequency attenuation when embedded within devices. Despite offering better sound quality, dynamic speakers are more expensive than buzzers. To address these challenges, the technology owner has developed an ultra-thin, flexible, and cost-effective sheet type speaker that combines the advantages of both dynamic speakers and buzzers. This speaker produces high-quality sound across a broad range of frequencies. Its thin and flexible profile allows for seamless integration into various devices, significantly expanding design possibilities and fostering creative implementations. Additionally, its robust environmental resistance improves durability and reliability for long-term use in smart home appliances. This cost-effective solution also enables manufacturers to incorporate superior audio features without a significant price increase, paving the way for integrating sound as a key value-add in consumer electronics to enhance the user experience (UX). The technology owner is seeking R&D collaboration with industrial partners interested in incorporating this sheet type speaker into their products and applications. Cost Effective: Optimisation of original technology reduces costs Constructed from inexpensive materials such as thin metals, resins, and ceramics Design Flexibility: Ultra-thin and flexible profile: 0.2 mm thick and 20 x 20 mm - 30 x 30 mm square Versatile mounting: it can be mounted on various surfaces, including curved surfaces and narrow bands High Sound Quality: Broad audible range from 500 Hz onwards and wideband sound reproduction Sound pressure level (SPL): 80 – 90 dB at 2 kHz / 0.1 m Good Environmental Resistance: Special protective film: protects against dust, moisture, shock, etc. Water resistance: meets the IP68 waterproofing rating Heat and cold resistance: functions in temperatures ranging from -20 to 85 °C Potential applications include, but are not limited to: Home appliances: vibration detection in washing machines and coffee makers, voice notification in refrigerators and ovens, etc. On-vehicle applications: announcements in public transportation, navigation guidance and battery warnings for e-scooters and e-bikes, etc. Amusement applications: interactive displays for gaming, information signage in museums or galleries, etc. Wearable devices: medical alerts in health-monitoring wristbands, emergency alerts in safety gear, etc. Cost-effective with superior sound quality Ultra-thin design and structural flexibility Good environmental resistance Versatility in design and implementation for various applications speakers, Smart home appliances, voice notifications, Ultra-thin, Flexible, Sheet Type Infocomm, Speech/Audio Processing, Electronics, Interconnects

With rising concerns about carbon emissions, Carbon Capture, Utilization and Storage (CCUS) plays a crucial role in combating climate change. CCUS helps reduce emissions by capturing carbon from flue gas, removing carbon from the atmosphere, and transforming captured carbon into value-added products. However, conventional CCUS technologies often involved high energy consumption and operational expenses. Current carbon mineralization processes face challenges such as slow reaction rates, limited scalability, and high associated costs. To address these challenges, the technology owner has developed an economically viable carbon mineralization technology that integrates carbon fixation and the reuse of industrial solid wastes in an integrated manner. This technology targets both carbon utilization and long-term carbon storage. It focuses on using alkaline industrial solid wastes, such as steel slag, fly ash, and cement waste, which are rich in calcium and magnesium oxides, to efficiently sequester CO2. The process involves leaching calcium and magnesium ions from slag and precipitating them as carbonates for various applications. This modular technology is scalable and adaptable to different waste materials, promising substantial carbon reduction and transforming industrial waste into valuable resources. Implementing this technology allows steel, cement and chemical companies to tackle high carbon emissions and waste disposal issues simultaneously. The final product, with carbon-negative properties, helps downstream clients reduce the carbon footprint of their products, such as plastic, paper, rubber tires, paint and cement.  The technology owner is seeking collaboration with industrial partners, especially industrial waste producers, high carbon emission plants, cement companies using post-carbonation slag, and manufacturers of paper, plastic, and rubber. The technology consists of a carbon mineralization plant with 4-steps facilities: Reaction Facilities: extract calcium ions from industrial solid wastes using CO2 based acid Solid-Liquid Separation Facilities: separate liquid enriched with calcium ions and the post-carbonation slag Precipitation Facilities: produce calcium carbonate Drying Facilities: dry the final product to meet client’s requirement Key features of this technology include: Flexible CO2 Sources: can use ambient air, flue gas from various plants, or any gas mixtures containing CO2 Lower Energy Consumption: utilizes industrial waste, reducing energy-intensive raw material processing Cost-Effective: reagent recycling minimizes material costs, making the process economically viable Scalability: modular and adaptable design allows for easy scaling and application across various industries Environmental Impact: converts waste into valuable products, addressing CO2 emissions and industrial waste Industries for Deployment: Steel plants Cement plants Coal power plants Other industrial sites producing CO2 emissions and solid wastes Marketable Products: High-purity calcium carbonates for various industrial applications such as plastic, paper, paint, rubber tyre, etc. Post-carbonation slag with low iron content can be used as supplementary cementitious materials (SCM) for clinker Post-carbonation slag with high iron content can be recycled to the sinter plant as sinter ore Dual Benefit: combines carbon capture and waste management Economic Viability: generates revenue from products, offsetting costs Flexibility: adaptable to various industries and CO2 sources Sustainability: support a circular economy by turning waste into resources Carbon Capture, Utilization and Storage (CCUS), Carbon Mineralization Technology, Industrial waste Waste Management & Recycling, Industrial Waste Management, Sustainability, Low Carbon Economy

Controlling both outdoor and indoor air pollution is crucial for protecting human health and the environment. Outdoor air pollution from industrial emissions and vehicle exhaust contributes to respiratory and cardiovascular diseases, global warming, and environmental degradation. Indoor air pollution can also cause chronic respiratory conditions and other health issues. According to the World Health Organization (WHO), outdoor air pollution causes approximately 4.2 million premature deaths annually, while indoor air pollution accounts for around 3.8 million premature deaths each year. Traditionally, wet scrubbers are used to reduce air pollution, ensuring regulatory compliance and protecting human health. However, they have drawbacks such as scaling, fouling, inefficient pollutant removal, and generating solid waste. These issues lead to frequent maintenance, high operational costs, and environmental pollution. This technology addresses these pain points by utilizing an array of water jets without the need for packing materials. This innovative solution offers more efficient pollutant removal, reduced maintenance, a compact design, and lower energy consumption, effectively solving the problems associated with traditional wet scrubbers. The technology owner is seeking collaborations with companies in the chemical/ pharmaceutical/ steel manufacturing sector for test-bedding and research and development (R&D) projects that require an eco-friendly scrubber. The advanced scrubber technology features 3000 high-efficiency water jets that maximize contact area and ensure even water distribution, eliminating the need for traditional packing materials. This design addresses issues like scaling, fouling, and corrosion, resulting in lower maintenance and operational costs. The system is compact, enhancing space utilization within facilities. It operates with a compressed spray, effectively capturing pollutants through vertical collision and inertial force. Test results demonstrate a significant reduction in pollutants such as ammonia, formaldehyde, and acetic acid. Additionally, the technology is energy-efficient, reducing power consumption compared to traditional scrubbers, and supports sustainability goals by minimizing solid waste generation.  This technology has the potential to be applied on these areas, harnessing on its ability to remove pollutants effectively using water as a filter: Chemical Manufacturing: Handles a wide range of chemical emissions effectively, ensuring compliance with environmental regulations Steel and Metal Processing: Captures fine particulate matter and metallic dust, improving air quality Food and Beverage Processing: Improves air quality in processing plants, enhances worker safety, and reduces environmental impact Pharmaceutical Manufacturing: Ensures high removal efficiency for specific pollutants such as ammonia and formaldehyde High-Efficiency Water Jets: For maximizing gas-liquid contact, ensuring even water distribution, eliminating issues with uneven waterjet output when compared to traditional systems No Packing Materials: Does not require packing materials, addressing problems like scaling, fouling and corrosion of traditional scrubbers Statistically Proven: 100% reduction in pollutants such as ammonia, formaldehyde and acetic acid Environment, Clean Air & Water, Sanitisation, Mechanical Systems, Sustainability, Sustainable Living

Dementia, particularly Alzheimer's disease, is a significant socioeconomic burden in aging societies. Traditional blood tests are unable to  detect Alzheimer's biomarkers despite that the biomarkers appear 10-20 years before the appearance of cognitive decline symptoms. A groundbreaking ultrasensitive blood biomarker detection technology has been developed to overcome this limitation. This patented technology detects disease biomarkers at femtogram (fg/mL) levels, achieving sensitivity over 10,000 times higher than conventional methods. In addition to advanced biomarker detection, a comprehensive lifelog data collection technology has been integrated. Using smart rings and other wearable devices, extensive lifelog data is gathered, including sleep patterns, activities, and urine test results. This multimodal data collection supports the creation of the world’s largest Asian Senior Cohort, targeting over 30,000 individuals for the next 5 years. A key component of this innovative approach is the AI-based data analysis for the diagnosis and prognosis of dementia and cognitive dysfunction. AI algorithms analyze the comprehensive datasets, providing precise diagnostic insights and predicting disease progression. This AI-driven analysis, combined with ultrasensitive biomarker detection and detailed lifelog data, forms a robust data platform for early diagnosis, continuous monitoring, and personalized healthcare solutions. By focusing on these cutting-edge technologies, this platform offers a holistic and precise approach to managing cognitive health in super-aging societies. This innovative solution supports precision medicine and provides a comprehensive method for the early detection and ongoing management of dementia and other age-related diseases. This technology offers substantial improvements over current cognitive health management practices through several unique features: Ultrasensitive Biomarker Detection: Unlike conventional methods, which often lack sensitivity, this technology detects Alzheimer's biomarkers at femtogram (fg/mL) levels. This capability enables detection up to decades before cognitive symptoms manifest, facilitating early intervention and significantly improving treatment outcomes. Comprehensive Lifelog Data Integration: Utilizing smart rings and wearables, the technology continuously gathers detailed lifelog data such as sleep patterns and physical activities. This holistic monitoring approach provides a comprehensive view of an individual's health status, enabling personalized healthcare strategies tailored to specific patient needs. AI-Driven Precision Healthcare: Integrated AI algorithms analyse multimodal datasets with over 90% accuracy for diagnosing and predicting cognitive dysfunction. This AI-driven analysis enhances diagnostic precision, monitors disease progression effectively, and optimizes treatment plans based on real-time data insights. Establishment of Large-Scale Research Cohorts: The technology facilitates the creation of extensive Asian Senior Cohorts, supporting longitudinal studies and clinical trials. This infrastructure is pivotal for advancing research in drug discovery, validating biomarkers, and developing innovative medical devices aimed at enhancing dementia management. This integrated technology revolutionizes cognitive health management in aging societies by combining ultrasensitive biomarker detection, comprehensive lifelog data collection, and precise AI-driven analysis for proactive healthcare solutions.  Early Diagnosis: The technology's ultrasensitive biomarker detection enables early identification of Alzheimer's disease, potentially decades before symptoms appear. This early detection supports timely interventions, improving treatment outcomes and quality of life for patients. Continous Monitoring and Personalized Care: Integrating lifelog data from smart devices allows for personalized healthcare strategies tailored to individual health profiles and the continuous monitoring of daily activities, sleep patterns, and vital signs facilitates proactive management and optimization of treatment plans based on real-time data insights.  Tailored Treatment Strategies:  AI-driven analysis of multimodal datasets provides valuable insights into disease progression and treatment efficacy. This capability aids healthcare professionals in monitoring cognitive decline, adjusting therapeutic approaches, and delivering timely interventions to enhance patient care outcomes. Research and Development Platform: The establishment of a large-scale Asian Senior Cohort and extensive lifelog data collection creates opportunities for advanced research in drug discovery, biomarker development, and validation of medical devices. This platform supports longitudinal studies and clinical trials, offering a robust framework for investigating correlations between biomarkers, lifestyle factors, and cognitive health outcomes The market potential for this technology is substantial, driven by the increasing prevalence of dementia and the growing elderly population globally. The Alzheimer's Disease International estimates that over 50 million people worldwide currently live with dementia, with numbers projected to nearly triple by 2050. This demographic shift underscores the urgent need for innovative technologies that can improve early detection, management, and treatment outcomes. This technology's unique value proposition lies in its groundbreaking sensitivity in biomarker detection which allows for early detection of cognitive decline and dementia much earlier than presentation of clinical symptoms. Integrated lifelog allows for a holistic monitoring approach which provides a comprehensive view of an individual's health status, enabling personalized healthcare strategies tailored to specific patient needs. In addition, integrated AI algorithms analyse multimodal datasets with over 90% accuracy for diagnosing and predicting cognitive dysfunction. This AI-driven analysis enhances diagnostic precision, monitors disease progression effectively, and optimizes treatment plans based on real-time data insights. Lastly, the technology provides an opportunity for the creation of extensive Asian Senior Cohorts, supporting longitudinal studies and clinical trials. This infrastructure is pivotal for advancing research in drug discovery, validating biomarkers, and developing innovative medical devices aimed at enhancing dementia management. Dementia, Biomarkers, Alzheimers, Diagnositcs, AI, Precision Health, Personalised Healthcare Healthcare, Diagnostics, Telehealth, Medical Software & Imaging, Pharmaceuticals & Therapeutics

Singapore is an aged society and is set to be “super-aged” in 2026. This means that 21% of the population are 65 years and above. In a recent study conducted in Singapore, 72% had some form of cognitive impairment. The number of young onset dementia is also on the rise in Singapore. This underscores the critical need for early detection and intervention. However, existing screening tools for dementia have limitations. Their ability to identify Mild Cognitive Impairment (MCI), an early stage of dementia, is limited. Additionally, these tools require specialized instructors for test administration and scoring, which can be inconvenient for seniors who must visit a facility for screening. This innovative app merges mobile technology with artificial intelligence to address these challenges. It outperforms the MMSE (mini-mental state examination), the most widely used dementia screening test, in identifying both Alzheimer’s disease and MCI. Furthermore, the AI-based automatic scoring system provides test results within one minute, eliminating the need for specially trained instructors. This feature makes the app accessible anywhere, including at home. By enhancing the accuracy, accessibility, and usability of dementia screening, the app aims to facilitate equitable access to essential healthcare resources and contribute to the well-being of individuals and communities.     The app screens for Alzheimer's disease and Mild Cognitive Impairment (MCI) early by analyzing the user's speech. First, the application begins by collecting speech data from the users answering 11 questionnaires measuring each cognitive ability such as short-term memory and numeracy. Second, the recorded speech files are converted into images using spectrogram generation. Spectrograms convert audio signals into visual representations that show the frequency and intensity of sound over time. This conversion enables the application to capture intricate details and patterns within the user's voice that indicate cognitive changes. Third, the heart of the application is its proprietary artificial intelligence (AI) algorithm. This algorithm has been trained on a vast dataset of voice recordings from 1,300 patients through 2 years of clinical studies. It uses deep learning neural networks to identify subtle patterns, variations, and anomalies in the generated imag­­es. Fourth, the AI algorithm analyzes the images to detect specific patterns associated with Alzheimer's and MCI. These patterns include irregularities in pitch, tone, rhythm, pauses, and other vocal attributes that reveal cognitive decline. Through voice-to-image conversion and a proprietary AI algorithm, the app offers a promising avenue for early diagnosis and proactive management of cognitive health. The app is tailored for the senior healthcare market with two distinct versions: The first version targets the B2B2C healthcare market, focusing on providers of senior care products and services in both public and private sectors. This version operates independently of medical oversight and does not offer disease diagnosis or numerical health assessments. This will be positioned as a cognitive health monitoring tool to empower care providers to enhance their offerings in the senior care market. The second version is a medical device intended for the B2H channel, including hospitals, clinics, and health check-up centres. This version is currently in the process of obtaining certification from the relevant medical device regulatory authority, such as K-FDA. Once certified, the app can complement or replace existing dementia diagnostic tools such as MMSE and CIST. This capability allows hospitals to expand their range of dementia diagnostic services and generate additional revenue from cognitive health assessments, addressing a gap in the current market offerings. Dementia is not solely a concern in South Korea but a global challenge. The number of global dementia patients is anticipated to rise from 55 million in 2020 to 139 million by 2050. Some studies even suggest that this figure may surpass 152 million, three times the current number, by 2050 (Washington University School of Medicine's Institute for Health Metrics and Evaluation, 2021). The market size is expected to continue growing with an average annual growth rate of 12.8% over the next six years. The app pioneers a meticulous approach to cognitive health assessment through acoustic analysis. Unlike traditional methods that rely solely on user responses, it analyses factors such as word intervals, pauses, and pitch variations. This detailed acoustic perspective enables it to detect early signs of cognitive decline, surpassing the limitations of conventional techniques. Central to innovation is a language-independent algorithm. It effortlessly converts user speech into spectrogram images that vividly depict speech characteristics using colour and brightness variations. This approach breaks down language barriers, adapting seamlessly to diverse linguistic contexts without requiring new algorithms for each language. This adaptability ensures the app serves global communities effectively. Designed for accessibility and convenience, the app completes screening in just 10-15 minutes using a mobile device—no specialised equipment necessary. This simplicity empowers seniors and caregivers, democratizing proactive health management. The app's portability and user-centric design redefine dementia screening, offering innovative features and universal accessibility that set a new standard in cognitive health assessment. Healthcare, Telehealth, Medical Software & Imaging